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The Application of a Dendric Cell Algorithm to a Robotic Classifier

Oates, Robert; Greensmith, Julie; Aickelin, Uwe; Garibaldi, Jon; Kendall, Graham

Authors

Robert Oates

Uwe Aickelin

Jon Garibaldi

Graham Kendall



Abstract

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.

Citation

Oates, R., Greensmith, J., Aickelin, U., Garibaldi, J., & Kendall, G. The Application of a Dendric Cell Algorithm to a Robotic Classifier

Conference Name Proceedings of the 6th International Conference on Artificial Immune Systems (ICARIS 2007)
Deposit Date Oct 12, 2007
Peer Reviewed Peer Reviewed
Public URL http://eprints.nottingham.ac.uk/id/eprint/667

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